Relion-3.0 beta has been released !
Now we are included in Computer Hardware under Relion Website.

GPU Accelerated Cryo-Electron Microscopy

Relion is an image processing software designed specifically for cryo-electron microscopy (cryo-EM). Developed by the group of Sjors Scheres at the MRC Laboratory of Molecular Biology, the Relion framework is revolutionizing the cryo-EM field. It is a stand alone computer program built for the refinement of macromolecular structures by single-particle analysis of electron cryo-microscopy data. Relion employs an empiracal Bayesian approach for refinement of multiple 3D reconstructions or 2D class averages. With alternative approaches often relying on user expertise for the tuning of parameters, Relion can find an optimal way of filtering the data automatically.

Extensive task-level parallelism for accelerators. While previously Relion only exploited parallelism over images (left), in the new implementation classes and all orientations of each class are expressed as tasks that can be scheduled independently on the accelerator hardware (GPUs). Even individual pixels for each orientation can be calculated in parallel, which makes the algorithm highly suited for GPUs.

RELION Certified GPU Systems

The main driving force behind the GPU development has been to bring supercomputer power and performance to individual desktops with an economical price, high power efficiency and designed to benefit the widest range of researchers. LinuxVixion, S.L. has teamed up with the AMBER development team to design a series of RELION GPU computing solutions that provide the optimum price performance for RELION users.

These machines provide a turnkey solution for RELION simulation, come preinstalled with the latest version and updates, are ready to run out of the box and provide guaranteed performance. This provides a solution for scientists to purchase optimal workstations and clusters for running GPU RELION (and regular CPU RELION simulations as well.)

“Working closely with LinuxVixion, S.L. to develop certified GPU systems has been a pleasure. Their flexibility and responsiveness has allowed us to jointly optimize these computing platforms that, I believe, deliver transformative increases in performance for molecular dynamics simulation to every lab without the complexities of needing to validate the GPU computing hardware.”